Genome Polymorphism Detection Through Relaxed de Bruijn Graph Construction
2018
- 238Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage238
- Downloads232
- Abstract Views6
Artifact Description
Comparing genomes to identify polymorphisms is a difficult task, especially beyond single nucleotide polymorphisms. Polymorphism detection is important in disease association studies as well as in phylogenetic tree reconstruction. We present a method for identifying polymorphisms in genomes by using a modified version de Bruijn graphs, data structures widely used in genome assembly from Next- Generation Sequencing. Using our method, we are able to identify polymorphisms that exist within a genome as well as well as see graph structures that form in the de Bruijn graph for particular types of polymorphisms (translocations, etc.)
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